The real problem with the current AI hype is not "AI" in itself but what it is causing:
[#]FrugalComputing
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[#]FrugalComputing
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To put some figures on this: the current global data centre capacity is 55GW, which means 482 TWh/year. Global electricity generation is 30,000 TWh/y. Production of chips for data centres is currently around 21 TWh/y.
Suppose this grows by 10x in ten years (that is about 25% per year and is within current projections). Then we get 4820 TWh for the data centres and 210 for the chips so 5000 TWh or an extra 2.4 GtCO2e (on a total global CO2 budget of 12 GtCO2e). (3/5)
[#]FrugalComputing
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@wim_v12e
Thanks for calculations!
Do have a reference?
I have connected the numbers with reality. There is a big gap on all resources needed.
https://thomasfricke.de/38c3.pdf
Talk is here
https://media.ccc.de/v/38c3-resource-consumption-of-ai-degrow-or-die
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@thomasfricke @wim_v12e
I too would love a source for the numbers. I haven't been able to find anything as useful as that for global figures (and do these include China?).
While I find them credible, I can't stick them on a slide without a reference 😀
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I'm writing a blog article about this at the moment, it will have references.
@tomstoneham
@thomasfricke
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@wim_v12e @thomasfricke
Brilliant. Thank-you
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